Study on Prediction of Post-construction Settlement of Expressway on Soft Ground with Neural Network Model

Abstract:

Aimed at the insufficiency of traditional BP network, the improved BP neural network model is adopted to predict the post-construction settlement of expressway on soft ground. Two methods of forming the training samples are put forward, and their virtues and shortcomings are pointed out by calculations and analyses. It shows that the improved BP neural network model is steady and fast convergence. Furthermore, the network model trained by the samples from time and according settlement has least error and more accurate.